A new inverse DEA method for merging banks

The present study shows that science journalism does not move beyond its traditional borders; however, the Gulf Corporation Council (GCC) countries emphasize science and technological development enough. Therefore, bibliometric analysis has been adopted to examine science journalism research gaps in the GCC countries. The result indicates a substantial keyword issue and a gap in science journalism research in North global countries and GCC countries. This research paper is a must-read in the typical scarcity of science journalism research in GCC countries. Furthermore, this paper can be a reference document for policymakers and course developers in the science communication field.

On the value of decentralised PV systems for the GCC residential sector

This research examines the effects of energy consumption and economic growth on tourism in GCC economies. Gulf Corporation Council (GCC) countries have encountered economic growth uncertainties owing to the fluctuations in oil prices and are working to diversify their economies. Reducing reliance on oil and promoting non-hydrocarbon sectors like tourism can achieve economic diversification. The tourism industry requires energy to match the demands of luxury-driven hospitality, and tourism growth contributes to GDP. Using panel data from the GCC countries, we investigate the impact of energy consumption and economic growth on tourism. We employed feasible generalized Least Squares (FGLS) for empirical analysis. We also used panel corrected standard errors (PCSEs) and Driscoll-Kraay standard errors (DKSEs) methods for further robustness checks. Tourism is linked to increased energy consumption and economic growth. Our empirical results revealed that the tourism industry is growing as energy consumption and economic growth rise. Our results hold true even when different tourism proxies and econometric techniques are used. The policy implication is that the governments of the GCC countries should develop appropriate energy policies to boost tourism that help these economies in economic diversification efforts.

Women with atrial fibrillation in Qatar with special reference to gender difference: Caution on the representativeness of non-Caucasian countries

This study aims to examine the role of non-petroleum production on the economies of the Gulf Corporation Council (GCC) countries for the study period from 1992 through 2021. GCC countries were adopting long-term plans to diversify the economy by expanding the base of domestic production to products other than petroleum. This study adopted an empirical model that depends on several variables to explain the development of economic growth. The model was estimated using a panel data regression method. The results found were generally consistent with the economic theory. The main finding of the model showed that the effect of domestic production of non-petroleum products was positive and statistically significant on economic growth. However, the road is still long. To achieve the goal of diversifying the economies to the point of substantial dependence on the non-petroleum sector, more efforts will be necessary.

Purpose – This paper aims to employ GARCH-class models (GARCH, IGARCH and CGARCH) to estimate the volatility persistence on crude oil, US, Gulf Corporation Council (GCC), Brazil, Russia, India and China (BRIC) stock markets. Also, the paper investigates the volatility spillover and the dynamic conditional correlation between crude oil, US stock index and stock indices of GCC and BRIC countries. The results prove a high degree of volatility persistence in the crude oil and stock markets. Based on the BEKK-GARCH and DCC-GARCH results, the paper finds strong evidence of the contagion effect of the oil shock and US financial crisis of 2008 on GCC and BRIC stock markets. Design/methodology/approach – In the beginning, the paper uses univariate GARCH models to estimate the volatility persistence of the oil market, US stock market, and GCC and BRIC stock markets. Then, the paper uses a trivariate BEKK-GARCH model of Malik and Hammoudeh to examine the volatility spillover between oil market, US stock market and stock markets for GCC and BRIC countries. Finally, the paper analyses the dynamic conditional correlation between US market and each stock market of GCC and BRIC countries using the DCC-GARCH model. Also, the paper estimates the dynamic conditional correlation between oil market and all stock markets. Findings – The results indicate the contagion effect of the oil shock and US financial crisis of 2008 on the GCC stock markets which are among the most important oil-exporting countries and also on BRIC stock markets which are among the emergent countries which are characterized by high economic growth level. Originality/value – The contribution of this paper is to investigate the existence of contagion effect between oil market, US stock market and two panels of emerging stock markets which have different economic characteristics, the GCC and BRIC countries, during the oil shock and US financial crisis period of 2008-2009.

Estimating potential gains from mergers is an important strategic decision-making problem. This paper introduces a new inverse data envelopment analysis (DEA) based on a cost efficiency model for estimating potential gains from mergers. There are restructuring scenarios for firms that want to minimize cost. The existing inverse DEA technical efficiency models are not appropriate for estimating merger gains in these situations. It is also shown that the proposed inverse DEA cost efficiency model can reveal more merger gains than the inverse DEA technical efficiency model. The applicability of the proposed method is shown through an application in Canada’s banking sector to determine the required level of inputs and outputs for a merged bank to achieve target levels of cost and technical efficiencies. The results highlight the potential financial gains to improving both technical and cost efficiencies as efficiency-seeking banks increasingly become large and complex institutions through growth, mergers and acquisitions in a financial environment that is being shaped by reforms and technological innovation.

One of the key success factors of the financial institution sustainability is operational efficiencies. Using Data Envelopment Analysis (DEA), this paper measures the relative efficiency of the executing banking units of people business credit (KUR) program in Indonesia. Sample data of this study were obtained from all banking units from banks providing KUR located in the district of Pati, Central Java - district with the largest KUR receiver. This study consists of two stages of analyses: (1) it is found that 18 of the 35 banking units (51.43%) are in the scale efficiency, with units receiving 100% efficiency score being called efficient; (2) an output target is shown for the purpose of maximizing the output of the KUR disbursement without additional inputs.

Inverse chance-constrained dynamic data envelopment analysis under natural and managerial disposability: Concerning renewable energy efficiency and potentials

Many production systems have acquisition and merge operations to increase productivity. This paper proposes a novel method to anticipate whether a merger in a market is generating a major or a minor consolidation, using Inverse data envelopment analysis (InvDEA) model. A merger between two or more decision making units (DMUs) producing a single merged DMU that affects the efficiency frontier, defined by the pre-consolidation market conditions, is called a major consolidation. The corresponding alternative case is called a minor consolidation. A necessary and sufficient condition to distinguish the two types of consolidations is proven and two numerical illustrations in banking and supply chain management are discussed. The crucial importance of anticipating the magnitude of a consolidation in a market is outlined.

The resource allocation of commercial banks is a multiple-criteria decision-making issue with complex internal structure, and traditional inverse data envelopment analysis cannot meet its decision-making needs. A two-stage structure with undesirable outputs is constructed to describe the operations of a Chinese commercial bank, and then a new two-stage inverse data envelopment analysis with undesirable outputs is proposed to address its resource allocation multiple criteria decision-making issue. The new method can be used to calculate the minimum input increment required to achieve the goals of desirable and undesirable output under a certain efficiency, and then a specific resource allocation plan can be obtained to promote the sustainable development of commercial banks. Finally, the new method is applied to the resource allocation of 16 Chinese listed commercial banks in 2013, and the application results fully demonstrate the effectiveness of the new method.

Using inverse data envelopment analysis to evaluate potential impact of mergers on energy use optimization - Application in the agricultural production

An inverse DEA model for inputs/outputs estimate

ABSTRACTPopulation aging is a phenomenon occurring across the globe including in countries traditionally exhibiting population dividends and “youth bulges.” The Gulf Corporation Council countries are no exception as they currently experience a process of population aging, albeit at a different stage from many developed countries. However, due to historically high fertility rates and fast-paced epidemiological transition, some of these countries will experience population aging at a higher pace than what has been observed in Europe and the United States. This article reviews recent developments in long-term care policies in the Gulf region with a focus on Oman as an example of a high-income Arab country that is experiencing population aging while still being governed by traditional family aged-care norms. Utilizing existing data and published research complemented by policy analysis and field visits, we analyze the process of population aging in Oman and neighboring countries and its policy implications.

Banking Quality, Efficiency, Profitability and Customer Satisfaction Analysis.- An Empirical Study of Service Quality Perspectives in Public and Private Banks.- Assessing Efficiency of Bank Branches: An Application of Data Envelopment Analysis (DEA).- Comparative Satisfaction Measurement of ATMS vs Tellers.- A Multicriteria Approach to Asssess the Performance of Greek Banking System: The Case of Greece.- Business Failure and Credit Risk Assessment.- Business Failure Prediction: A Review and Analysis of the Literature.- On the Use of a Combination Approach to Automated Knowledge Acquisition Based on Neural Networks and Fuzzy Logic with Regard to Credit Scoring Problems.- Banking Organization, Banking Marketing and Customer Relationship Management.- Bank-Firm Relationship: A Review of the Theoretical Literature.- From Banking on Customers to Banking on Regions: A Flexible, Diffusive Bricks & Mortar Network Organization for Real Focus on Customers.- Integrated Customer Relationship Management in the Banking Sector.- Bank Mergers, Acquisition and Concentration.- Mergers and Acquisitions in the European Banking Sector: The Case of BNP and Paribas.- Restructuring of Development Banks in the Context of a Market Economy: The Case of India.- Net Interest Income, Balance Sheet Structure and Interest Rates.- Portfolio Management and Risk Assessment.- Value at Risk Bounds for Portfolios of Non-normal Returns.- Value at Risk with High Frequency Data.- Stock Index Arbitrage and Stock Price Volatility in the Athens Derivatives Exchange.- Evaluating Mutual Fund Performance: An Overview.- Risk Logistics in Banking Management.- Risk Logistics in Banking Management.- Investment Evaluation of a Suburban Coastal Transport System.- Author Index.- Directory of Contributors.